Abstract. Idiopathic interstitial pneumonia (IIP) is considered to be one of the risk factors for lung cancer (LC). However, therapeutic options for patients with LC complicated by IIP are not well established. In this study, we investigated the feasibility and efficacy of chemotherapy for patients with non-small cell lung cancer (NSCLC) complicated by IIP (NSCLC-IIP). We retrospectively analyzed 22 NSCLC-IIP patients who received chemotherapy. To determine how IIP affected the clinical outcomes in NSCLC, they were compared with 276 NSCLC patients without IIP, who were treated with chemotherapy alone. The response rate (partial response + stable disease) was 72.3% (17/22), whereas the incidence of acute exacerbation (AE) was 13.6% (3/22) in NSCLC-IIP patients treated with chemotherapy. NSCLC-IIP patients had significantly shorter survival compared with NSCLC patients without IIP (P<0.001) following chemotherapy, although the response rates to chemotherapy were not significantly different between the two groups. Multivariate analysis demonstrated that, in NSCLC patients receiving chemotherapy, IIP was a significantly unfavorable factor for progression-free and overall survival. Despite similar response rates to chemotherapy, NSCLC-IIP patients showed poorer prognosis than NSCLC patients without IIP, possibly due to the natural course of IIP. Chemotherapy may be a feasible option for NSCLC-IIP, if the risks of adverse effects are acceptable.
Background: M2-like/repair macrophages are thought to contribute to fibrotic process of idiopathic pulmonary fibrosis (IPF). We analyzed the association between pulmonary accumulation of M2-like macrophages and survival in IPF patients. Methods: Lung tissues were obtained by surgical lung biopsy from patients with IPF (n=16), nonspecific interstitial pneumonia (NSIP, n=8) and control subjects (n=14). Samples were also obtained at autopsy from 9 patients who died of acute exacerbation (AE) of IPF. Lung specimens and/or human peripheral blood mononuclear cells-derived macrophages were evaluated by immunohistochemistry for expression of CD68 (pan-macrophage marker), CD163, and CD204 (M2-like macrophage markers), and by in situ mRNA hybridization and ELISA for production of transforming growth factor-β1 (TGF-β1). Results: CD68 + , CD163 + , and CD204 + cell counts and CD163 + /CD68 + and CD204 + /CD68 + cell ratios were comparable in IPF and NSIP lung tissues and significantly higher than in control tissues. IPF-AE lung samples contained significantly elevated CD68 + and CD163 + cell counts and CD163 + /CD68 + cell ratio compared with IPF samples, whereas CD204 + cell counts and CD204 + /CD68 + cells ratio did not differ. High CD163 + /CD68 + and CD204 + /CD68 + cell ratios were significantly associated with shorter overall survival and time-to-AE in IPF patients. In vitro-differentiated human CD163 + and CD204 + macrophages both secreted TGF-β1; however, the novel IPF drug pentraxin 2/serum amyloid protein could suppress secretion only by CD204 + macrophages. Conclusions: Pulmonary accumulation of CD163 + and CD204 + macrophages is associated with worse clinical course in IPF patients. Suppression of macrophage activation and TGF-β1 secretion may be a potential therapeutic target for IPF. 4006 Nouno et al. Elevation of CD163+ and CD204+ macrophages in IPF
Previous studies have demonstrated that both gefitinib and erlotinib are markedly effective for the treatment of non-small-cell lung cancer (NSCLC) with somatic activating mutations of the epidermal growth factor receptor gene (EGFR-mt). These agents are considered to act on EGFR through the same mechanism. However, the efficacy of these agents against EGFR wild-type (-wt) NSCLC remains unclear, and the frequency of adverse events (AEs) appears to differ between them at each approved dose. Here, we conducted a retrospective analysis of AEs and drug efficacy in patients with NSCLC whose EGFR mutation status had been confirmed and who all received 250 mg gefitinib or 150 mg erlotinib once daily. The erlotinib group (n = 35) had more AEs, including rash, fatigue, stomatitis, anorexia and constipation. On the other hand, liver dysfunction and nail change were more frequent in the gefitinib group (n = 107). AEs of ≥grade 2, including rash, fatigue and nausea, were more frequent in the erlotinib group. The erlotinib group also showed more of a tendency to require dose reduction due to AEs. With regard to treatment efficacy for patients with EGFR-wt, there was no significant difference in progression-free survival between the two drug groups. However, this study has several limitations as of the nature of retrospective design; our data suggest that gefitinib and erlotinib might have almost equal efficacy for patients with EGFR-wt NSCLC, as is the case for patients with EGFR-mt tumors, although erlotinib appears to have higher toxicity than gefitinib at each approved dose.
Background: Nintedanib is a tyrosine kinase inhibitor that has been shown to suppress progression of idiopathic pulmonary fibrosis (IPF). The efficacy and tolerability of nintedanib for IPF has been previously proven in the INPULSIS ® and INPULSIS-On ® trials. The aim of our study was to clarify the tolerability of nintedanib in the real world for severe IPF patients who were unable to enter the INPULSIS ® and INPULSIS-On ® trials. Methods: We retrospectively investigated medical records of 8 patients with severe IPF and 14 patients with non-severe IPF who had been treated with nintedanib. The criteria to define severe IPF were forced vital capacity (FVC) of <50% predicted and/or diffusing capacity of the lung for carbon monoxide/alveolar volume (D LCO /VA) of <30% predicted or unmeasurable. Severity of adverse event was evaluated using the Common terminology criteria for each adverse event version 4.0. We compared changes in FVC and serum KL-6 level, incidence and severity of adverse events, and incidence of permanent or temporary discontinuation of nintedanib in between severe and non-severe IPF groups. Results: The median treatment period was 578.5 days. The most frequent adverse event was diarrhea (73%). Only 2 patients required permanent discontinuation of nintedanib due to adverse events. There was no difference in incidence or severity of adverse events or incidence of permanent or temporary discontinuation of nintedanib in between severe and non-severe IPF groups. Among subjects, decline in FVC during 6 months post-nintedanib treatment were significantly lower than prior to treatment, but change in serum KL-6 level showed no significant difference between these 2 timepoints. Conclusions: Our study showed that nintedanib was tolerable for IPF patients who would not have been eligible for entry into previous clinical trials due to low pulmonary function. Although therapeutic strategy for severe IPF should be planned carefully, initiation of nintedanib treatment should not be dismissed solely for reasons of low pulmonary function.
The histopathological diagnosis of mycobacterial infection may be improved by a comprehensive analysis using artificial intelligence. Two autopsy cases of pulmonary tuberculosis, and forty biopsy cases of undetected acid-fast bacilli (AFB) were used to train AI (convolutional neural network), and construct an AI to support AFB detection. Forty-two patients underwent bronchoscopy, and were evaluated using AI-supported pathology to detect AFB. The AI-supported pathology diagnosis was compared with bacteriology diagnosis from bronchial lavage fluid and the final definitive diagnosis of mycobacteriosis. Among the 16 patients with mycobacteriosis, bacteriology was positive in 9 patients (56%). Two patients (13%) were positive for AFB without AI assistance, whereas AI-supported pathology identified eleven positive patients (69%). When limited to tuberculosis, AI-supported pathology had significantly higher sensitivity compared with bacteriology (86% vs. 29%, p = 0.046). Seven patients diagnosed with mycobacteriosis had no consolidation or cavitary shadows in computed tomography; the sensitivity of bacteriology and AI-supported pathology was 29% and 86%, respectively (p = 0.046). The specificity of AI-supported pathology was 100% in this study. AI-supported pathology may be more sensitive than bacteriological tests for detecting AFB in samples collected via bronchoscopy.
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